Build Enterprise AI Agents On Your Own Infrastructure | aamp

Use cases Building AI agents

Autonomous agent orchestration

Build and deploy enterprise AI agents with total host control.

Single-binary Go execution, three-role RBAC with per-agent grants, and no step penalties on reasoning loops.

Move beyond fragile linear automation. aamp gives engineering and ops teams a governed control plane for multi-step, reasoning-loop agents. Host-level credential security, granular policy enforcement and execution-based billing mean you can build agents that interact with internal systems safely.

  • Host authority
  • Three-role RBAC
  • Per-run billing
  • Host-side credentials
01 · What you get

Why teams run this on aamp.

Reasoning loops without a step tax

An agent that takes one step or fifty reasoning iterations counts as one execution. Dynamic agent behaviour is not a billing penalty.

Credentials never reach the model

Secrets are held by the host process and injected at call time. The agent receives a tool result, not a key.

Policy enforced before the call, not after

35 discrete permissions govern which tools, systems and data each agent can reach. Denials are logged like any other event.

02 · How it works

Three steps, one perimeter.

01

Define the agent

Set its model, its tool contracts and the permission set it runs under.

02

Run it under host authority

The host process brokers every tool call, retrieval and outbound request.

03

Read the trace

Prompt, retrieval, tool call, output and token spend, logged per run.

Illustration to come
Developers · Data engineers · DevOps · Platform teams Same perimeter, same audit trail.

Run it where you can defend it.